The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.
The Division of Clinical Cooperation Unit Pediatric Oncology is seeking a
Within the INFORM precision medicine registry study we generated a molecular diagnostics platform, which enables us to identify therapeutic targets in a high-throughput manner. However, clear therapeutic targets are only identified in 50% of cases, the remaining patients lack actionable alterations. This occurs particularly in brain tumors, sarcomas and neuroblastoma, indicating significant, currently unmet needs in precision medicine. The main aim of our COMPASS consortium is to implement direct ex vivo functional drug response profiling of patient-derived cancer cells (PDCs) to discover unexpected drug efficacies and drug re-positioning opportunities. By complementing the molecular analysis by functional information we will provide additional key information for precision paediatric oncology.
Tasks / skills: Within COMPASS, the main task of the postdoc candidate will be the development and implementation of a bioinformatical analysis pipeline for metabolic and image-based drug screening data derived from primary tumor samples of paediatric cancer patients. Furthermore, the postdoc candidate will contribute to the generation of a large-scale online data resource of drug efficacies with integrated omics data providing a basis for novel precision therapies for incurable paediatric tumors. We are looking for someone who ideally has both, experience in high-content 3D image analysis of phenotypic drug screens with experience in image analysis and classifier software (preferably cell profiler, Matlab) as well as in general computational analysis skills, including the development of interactive shiny apps and data visualization tools.
Affiliation: The postdoc project is part of COMPASS, a European consortium coordinated by DKFZ, KiTZ, translational oncology (Prof. Dr. Olaf Witt and Dr. Sina Oppermann). The Postdoc will be co-supervised by KiTZ Clinical Bioinformatics Group (Natalie Jäger, https://www.kitz-heidelberg.de/en/research/researchgroups/cns-brain-tumors/group-clinical-bioinformatics/).
Your benefits: You will join an international research team in an outstanding scientific environment. Your project will be embedded in a collaborative research center with numerous synergies, working mainly at the German Cancer Research Center (DKFZ) / Hopp children’s cancer center in Heidelberg, Germany but closely collaborating with world leading institutes of our collaborations partners, such as Prince maxima center, Utrecht, FIMM, Helsinki, Biophenics, Paris and have access to several high-end core facilities as well as advanced training programs for postdocs offered by DKFZ career center.
Master in bioinformatics or in a related scientific field (or equivalent degree) and successfully completed PhD
Bioinformatics background / computational analysis skills
Basic knowledge in scripting languages (for example R, Perl or Phyton)
Knowledge in high-content 3D image analysis and classifier software (cell profiler, Matlab)
Team player, good communication and presentation skills
Very good knowledge of the English language (spoken and written)
We are looking for a self-motivated personality with strong skills in computational analysis and data visualization. High degrees of self-initiative, resilience, creativity and flexibility are prerequisites.
Applications shall include a CV, a brief statement (one side maximum) of current research and background, certificates and details of at least one academic referee.
The position is limited to 2 years with the possibility of prolongation.
The position can in principle be part-time.
For further information please contact
Dr. Sina Oppermann, phone +49 6221 42-3575.
The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
To apply for a position please use our online application portal (www.dkfz.de).
We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.